On the Current State of Linked Open Data: Issues, Challenges, and Future Directions

被引:7
|
作者
Fayyaz, Nosheen [1 ]
Ullah, Irfan [2 ]
Khusro, Shah [3 ,4 ]
机构
[1] Univ Peshawar, Dept Comp Sci, Peshawar, Pakistan
[2] Univ Peshawar, Dept Comp Sci, Web Engn, Peshawar, Pakistan
[3] Univ Peshawar, Dept Comp Sci, Comp Sci, Peshawar, Pakistan
[4] Univ Peshawar, Dept Comp Sci, Informat & Web Semant Res Grp, Peshawar, Pakistan
关键词
Big Data; Information Retrieval; Linked Data; Linked Open Data; Ontology; Semantic Web; GOVERNMENT DATA; SEMANTIC WEB; BIG DATA; LESSONS; INFORMATION; DISCOVERY;
D O I
10.4018/IJSWIS.2018100106
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article describes how Linked Open Data (LOD), under the umbrella of the Semantic Web, integrates the openly-published semantic information making it easily understandable and consumable by humans and machines. Currently, researchers have applied the principles of LOD in several domains including e-government, media, publications, geography, and life sciences. Besides the fast pace of research, the field is still an emerging one, where researchers face several prominent challenges and issues that need to resolve to exploit LOD to its fullest. In this article, the authors have identified challenges, issues, and research opportunities in the publishing, management, linking, and consumption of LOD. The research work presented here will grab the attention of researchers and may aid to the current state-of-the-art in this area.
引用
收藏
页码:110 / 128
页数:19
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